January 28-29, 2027 | NIT Puducherry, India
(Hybrid Mode)
The 8th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML)-2027 will be organized by Department of Computer Science and Engineering, National Institute of Technology Puducherry, India, during January 28-29, 2027 (Hybrid Mode). ICADCML-2027 continues the legacy of its predecessors as a premier global platform for researchers and practitioners to share groundbreaking research findings, innovative ideas, and practical experiences in the fields of distributed computing and machine learning. In an era where these technologies are shaping the future of various industries and societal interactions, ICADCML-2027 aims to foster collaboration and knowledge exchange that will drive advancements and applications in these domains. Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the conference.
National Institute of Technology Puducherry (NITPY), nestled in the scenes of Karaikal, a coastal enclave in the basin of river Kaveri is one among the ten new NITs in the Union Territory of Puducherry. Notwithstanding the tender age, NIT-Py is committed to produce effective and responsible technocrats who have the ability to serve the nation on its journey to growth and prosperity. In this process, students have been admitted from the academic year 2010-11 onwards through JEE Mains with 50% of seats reserved for the candidates having residence/native at Puducherry, Karaikal, Mahe, Yanam and the remaining 50% seats are filled on all India basis. The institute provides keen guidance in terms of experienced and expert faculties as well as facilities to sculpt the bright minds into professionally balanced individuals, capable enough to take up challenges of nature, of society and of the marketplace. Presently, 73 faculty members along with 90 non-teaching staff are employed for an overall strength of 1555 students. Students are exposed to the most modern and up-to-date curriculum and contemporary developments in various disciplines of engineering. In addition to scientific and engineering skills, the institute provides scope to our upcoming graduates to get exposure to team work on experimental projects, presentations and communication skills and active participations in all extracurricular activities. Since necessity is the mother of inventions, our students have participated in every corner of need and took the chaos of early years as an opportunity to grow with self determination and innovation. To mention, the institute website and many laboratory experiments were designed and fabricated by them. The institution is at a constant attempt of making endeavours to scale new heights by developing a synergy between studies, research, and consulting/training activities
Prof. Makarand Madhao Ghangrekar, Honorable Director, NIT Puducherry
Prof. S. Sundaravarathan, Registrar, NIT Puducherry
Prof. G. Lakshmi Sutha, Dean (Academic), NIT Puducherry
Mahasweta Sarkar, San Diego State University
Kuan-Ching Li, Providence University, Taiwan
Binayak Kar, NTUST, Taiwan
Surya Nepal, CSIRO Data61, Australia
Fuxiang Chen, University of Leicester, UK
Prasan Kumar Sahoo, Chang Gung University, Taiwan
ABM Rezbaul Islam, Sam Houston State University, USA
Ahmed Mohamed Abdelmoniem Sayed, QMUL, UK
Dimitris Chatzopoulos, UC Dublin, Ireland
Manoranjan Mohanty, CMU, Qatar
Mukesh Prasad, UTS, Australia
Madhusanka Liyanage, University College Dublin, Ireland
Suvendu Mohapatra, Foxconn, Taiwan
Somayajulu D, NIT Manipur
Smruti Ranjan Sarangi, IIT Delhi
Bibhudatta Sahoo, NIT Rourkela
Rashmi Ranjan Rout, NIT Warangal
Devashree Tripathy, IIT Bhubaneswar
Suvendu Rup, NIT Raipur
Debasish Jena, IIIT Bhubaneswar
Suraj Sharma, Central University Bilaspur
Suchismita Chinara, NIT Rourkela
Chandra Mouli P.V.S.S.R., Central University of Tamil Nadu
M. Venkatesan, Associate Professor & Head, CSE, NIT Puducherry
Ansuman Mahapatra, Associate Professor, CSE, NIT Puducherry
Asis Kumar Tripathy, SCORE, VIT Vellore
Jyoti Prakash Sahoo, SOA Deemed to be University
Ansuman Mahapatra, Associate Professor, CSE, NIT Puducherry
B. Surendiran, Professor, CSE, NIT Puducherry
Srinivasan A, Associate Professor, CSE, NIT Puducherry
Sanjay Bankapur, Assistant Professor, CSE, NIT Puducherry
P Kumaran, Assistant Professor, CSE, NIT Puducherry
Narendran Rajagopalan, Professor, CSE, NIT Puducherry
Praveen R, Assistant Professor, CSE, NIT Puducherry
R. Chandrasekar, Assistant Professor, CSE, NIT Puducherry
Vani V, Assistant Professor, CSE, NIT Puducherry
Karthik N, Assistant Professor, CSE, NIT Puducherry
Umakanta Nanda, VIT-AP
Sanjay Kumar Panda, NIT Warangal
Ajit Kumar Nayak, SOA University
Manjubala Bisi, NIT Warangal
Subasish Mohapatra, OUTR Bhubaneswar
Arun Kumar, NIT Rourkela
Manmath N Sahoo, NIT Rourkela
Sourav Kanti Addya, NIT Surathkal
Biswa Mohan Acharya, SOA University
Suvendu Rup, NIT Raipur
Jitendra Kumar Rout, NIT Raipur
Satyasai Jagannath Nanda, MNIT Jaipur
P.V.S.S.R Chandramouli, CU Tamilnadu
Naresh Kumar Nagwani, NIT Raipur
Shailendra Kumar Tripathi, NIT Raipur
Sanjay Kumar, NIT Raipur
Sudhakar Pandey, NIT Raipur
Satya Prakash Sahu, NIT Raipur
Tirath Prasad Sahu, NIT Raipur
Sushil Kumar, NIT Kurukshetra
Antriksh Goswami, NIT Patna
Md. Sarfaraj Alam Ansari, NIT Sikkim
Bunil Kumar Balabantaray, NIT Meghalaya
Srinivas Sethi, IGIT Sarang
Buddhadeb Pradhan, IEM Kolkata
Rajendra Prasad Nayak, GEC Bhawanipatna
Santosh Singh Rathore, IIITM Gwalior
Vinay Raj, NIT Trichy
U S N Raju, NIT Warangal
Venkanna Udutalapally, NIT Warangal
Ashish Kumar Sahu, MANIT Bhopal
Bharat Singh, IIIT Ranchi
Koppala Guravaiah, IIIT Kottayam
Kanchan Lata Kashyap, IIIT Kottayam
Bharathi V C, VIT AP
Kakelli Anil Kumar, VIT Vellore
Srinivasa Reddy Konda, VIT AP
Venkata Bhikshapathi Chenam, VIT AP
Vivekananda G N, VIT Vellore
Ashu Abdul, SRM University AP
Kshira Sagar Sahoo, SRM University AP
M Mahesh Kumar, SRM University AP
Neeraj Kumar Sharma, SRM University AP
Banee Bandana Das, SRM University AP
Saleti Sumalatha, SRM University AP
Manish Kumar, Thapar University
Alok Kumar Shukla, Thapar University
Chandramohan Dhasarathan, Thapar University
ICADCML-2027 solicits original research papers contributing to the foundations and applications of Distributed Computing and Machine Learning in the following broad areas, but are not limited to:
Advancements in distributed systems, cloud computing, and parallel processing.
Innovations in deep learning, reinforcement learning, and AI algorithms.
Techniques for secure systems, cryptography, and threat detection.
Explorations in quantum algorithms and quantum machine learning.
The Proceedings of ICADCML 2027 will be published in Springer "Lecture Notes in Networks and Systems (LNNS)" Book series. The books of this series are indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science. All selected and presented papers will be included in the conference proceedings.
Extended versions of selected papers presented in ICADCML 2027 are invited and recommended by the conference for submission to the following SCI, SCOPUS, DBLP, ACM Digital Library indexed journals:
Organized by: National Institute of Technology, Jamsedpur, India
Date: January 15-16, 2023
Organized by: Dept. of Computer Science and Information Engineering, NTUST, Taiwan
Date: January 9-10, 2026
Organized by: VIT-AP University, Amaravati, Andhra Pradesh, India
Date: January 5-6, 2024
Organized by: National Institute of Technology, Rourkela, Odisha, India
Date: January 28-29, 2023
Organized by: National Institute of Technology, Warangal, Telangana, India
Date: January 28-29, 2022
Organized by: Siksha O Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India
Date: January 28-29, 2021
Organized by: VIT Vellore, Tamilnadu, India
Date: January 30-31, 2020
Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the conference. The authors are required to submit full-text papers including abstract, keywords, introduction, methodology, result description, tables, figures, and references. The submissions may include new algorithms, experimental and/or theoretical applications of existing techniques with their strengths and weaknesses, development of new analytical frameworks, computational models of data based on natural learning systems, etc. It is required that the manuscript follows the standard Springer camera-ready format, limited to a minimum of 10 pages and a maximum of 12 pages. Submissions must include title, abstract, and keywords. The author name, affiliation, and email address should not be included in the manuscript submitted to follow a double-blind reviewing procedure. You need to submit single PDF files only; do not upload editable source files (.doc, .docx, or LaTeX files) for review. You will later be intimated for the source files if your article is selected.
Dr. Ansuman Mahapatra
Associate Professor
Department of Computer Science & Engineering
NIT Puducherry, Karaikal, India
Email:
ansuman.mahapatra@nitpy.ac.in
Profile:
View Profile